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CAD（计算机辅助检测）和 CADx（计算机辅助诊断）系统在胸部 CT 上识别和描述肺结节：研究、发展和新前景概述。

CAD (computed-aided detection) and CADx (computer aided diagnosis) systems in identifying and characterising lung nodules on chest CT: overview of research, developments and new prospects.

机构信息

Department of Radiological Sciences, University of Rome La Sapienza, V.le Regina Elena 324, 00161, Rome, Italy.

出版信息

Radiol Med. 2010 Apr;115(3):385-402. doi: 10.1007/s11547-010-0507-2. Epub 2010 Jan 15.

DOI:10.1007/s11547-010-0507-2
PMID:20077046
Abstract

Computer-aided detection (CAD) systems allow the automatic identification of lung nodules on chest computed tomography (CT), providing a second opinion to the radiologist's judgement and a volumetric evaluation of lesions - a very important aspect in oncological patients. The natural evolution of these systems has led to the introduction of computer-aided diagnosis (CADx) systems, which are able not only to identify nodules but also to characterise them by determining a likelihood of malignancy or benignity. The aim of this article is to describe the main technical principles of CAD and CADx systems, their applicability and influence in clinical practice and new prospects for their future development.

摘要

计算机辅助检测（CAD）系统允许在胸部计算机断层扫描（CT）上自动识别肺结节，为放射科医生的判断提供第二意见，并对病变进行体积评估-这在肿瘤患者中非常重要。这些系统的自然发展导致了计算机辅助诊断（CADx）系统的引入，该系统不仅能够识别结节，而且能够通过确定恶性或良性的可能性来对其进行特征描述。本文旨在描述 CAD 和 CADx 系统的主要技术原理、它们在临床实践中的适用性和影响，以及它们未来发展的新前景。

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本文引用的文献

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Performance evaluation of a computer-aided detection algorithm for solid pulmonary nodules in low-dose and standard-dose MDCT chest examinations and its influence on radiologists.低剂量和标准剂量胸部MDCT检查中实性肺结节计算机辅助检测算法的性能评估及其对放射科医生的影响。
Br J Radiol. 2008 Nov;81(971):841-7. doi: 10.1259/bjr/50635688.
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Computer-aided diagnosis in lung nodule assessment.肺结节评估中的计算机辅助诊断
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Automated volumetry of pulmonary nodules on multidetector CT: influence of slice thickness, reconstruction algorithm and tube current. Preliminary results.
人工智能在肺癌中的融合：机器的崛起。
Cell Rep Med. 2023 Feb 21;4(2):100933. doi: 10.1016/j.xcrm.2023.100933. Epub 2023 Feb 3.
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How well do practicing radiologists interpret the results of CAD technology? A quantitative characterization.临床放射科医生对 CAD 技术检测结果的解读能力如何？一项定量分析。
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The application of artificial intelligence in lung cancer: a narrative review.人工智能在肺癌中的应用：一项叙述性综述。
Transl Cancer Res. 2021 May;10(5):2478-2487. doi: 10.21037/tcr-20-3398.
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Assessing the predictive accuracy of lung cancer, metastases, and benign lesions using an artificial intelligence-driven computer aided diagnosis system.使用人工智能驱动的计算机辅助诊断系统评估肺癌、转移瘤和良性病变的预测准确性。
Quant Imaging Med Surg. 2021 Aug;11(8):3629-3642. doi: 10.21037/qims-20-1314.
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